This role is designed for a senior AI leader who operates at the frontier of machine learning and real-world impact. The focus is on building and scaling advanced AI systems that learn from complex, messy, multi-modal data and turn that learning into reusable capabilities that materially improve decision-making and outcomes. What this person actually does Leads a high-calibre team of AI scientists and ML engineers building large-scale, production-ready AI systems Designs and delivers foundation models using self-supervised and representation learning techniques Builds models that learn across multiple data modalities and scales, from granular signals through to population-level insights Embeds explainability, uncertainty and causal reasoning into model design, not as an afterthought Partners closely with downstream teams to ensure models can be fine-tuned, deployed and deliver real-world impact Makes clear, defensible build vs adapt vs buy decisions across models, tooling and external partnerships Sets standards for model evaluation, bench-marking, validation and data quality Represents the organisation externally through publications, open-source contribution or recognised thought leadership What success looks like Reusable AI systems that are actively leveraged across multiple high-value applications Models that improve as new data modalities are introduced Clear translation from research into deployed capability Strong internal confidence in model outputs du